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adventr: tutorials in R for An Adventure in Statistics (Field, 2016)
python implementations of Analyzing Neural Time Series Textbook
Collection of google colaboratory notebooks for fast and easy experiments
BAyesian Model-Building Interface (BAMBI) in Python.
A Python implementation of global optimization with gaussian processes.
Bayesian Python: Bayesian inference tools for Python
Mapping a variable-length sentence to a fixed-length vector using BERT model
Collection of tutorials, wikis, and templates to get you started with creating BIDS compliant datasets
Notes on Scientific Computing for Biomechanics and Motor Control
autoencoder trained on BOLD5000 dataset
Quickly and easily create 2d and 3d plots of fMRI data (using MATLAB).
Computational NeuroScience is a rigorous 8-week course in Coursera from University of Washington that focus on basic computational techniques for analyzing, modelling and understanding the behaviour of cells and circuits in the brain.
Coursera Computational-NeuroScience course of the University of Washington
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC
python, scala, and pyspark code for few dimensional reduction algorithms
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
How emojis are used on Twitter 😎
Materials for the "Functional connectivity" workshop at the Cognitive Neuroscience Skills Training In Cambridge (COGNESTIC-2023).
Audio Normalization for Python/ffmpeg
Paper for special issue "Python in Neurosciences II"
Generalized linear mixed-effect model in Python
Website and projects for the OHBM Hackathon in Rome 2019
A flexible DICOM converter for organizing brain imaging data into structured directory layouts
Estimating and plotting the decision boundary (decision surface) of machine learning classifiers in higher dimensions (scikit-learn compatible)
Toolbox for segmentation and characterisation of transient connectivity
Codes to accompany the book An Introductory Course in Computational Neuroscience
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.